NAMD is parallel molecular dynamics software designed to provide high-performance simulations of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group under the direction of Professor Klaus Schulten in collaboration with other faculty and laboratories at the University of Illinois at Urbana-Champaign. To learn more about NAMD, please visit this website.

Available Licenses

The latest version of NAMD software is available free of charge for use by individuals, companies and academic institutions for non-commercial and internal business use only. The software is available under a ready-to-sign click-through agreement on the NAMD website. From this site, select the “Download NAMD” link and then the appropriate version of the software. You will be prompted to register (or login with your credentials), in order to review and accept the license, and to then receive access to software.

VMD is molecular visualization software for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting. VMD was developed by the Theoretical and Computational Biophysics Group under the direction of Professor Klaus Schulten in collaboration with other faculty and laboratories at the University of Illinois at Urbana-Champaign. To learn more about VMD please visit this website.

Available Licenses

The latest version of VMD is available free of charge for use by individuals, companies and academic institutions for non-commercial and internal business purposes only. The software is available under a ready-to-sign click-through agreement on the VMD website. From this site, select the “Download VMD” link and then the appropriate version of the software. You will be prompted to register (or login with your credentials), in order to review and accept the license, and to then receive access to software.

The invention is a method for modeling material behavior, including methods and systems for modeling stress and strain effects in soil, by inducing a non-uniform stress and strain in a material sample using a testing device, and measuring sample data with the testing device. A subsequent method step includes training a self-organizing computational model (such as a neural network) with the data to learn a non-uniform behavior for the material. The empirical data may be obtained, for example, from a field-testing device or a laboratory-testing device.

Methods for Modeling Material Response to Applied Force is a patented method for modeling the interaction of granular material with equipment. The invention includes numerically representing the granular material using an array of cells and determining which of the cells may be unstable by using a self-organizing computational model, as well as illustrating the motion of the unstable cells using the model. The output of the model provides an accurate granular material response to interaction with equipment in real time.

This method models the interactions of granular material with moving equipment and includes the steps of numerically representing the material as an array of granular cells, determining which of the cells may be unstable using a self-organizing computational model, and modeling the motion of the unstable cells using the model. The modeling can be performed in real time, thereby providing an accurate granular material response to interaction with equipment in real time.